Aouatif Amine

Aouatif Amine
Université Ibn Tofail

Full Professor
Researcher: Artificial Intelligence, Deep Learning and Machine Learning

About

133
Publications
26,922
Reads
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850
Citations
Citations since 2016
101 Research Items
737 Citations
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2016201720182019202020212022050100150
2016201720182019202020212022050100150
2016201720182019202020212022050100150
Additional affiliations
January 2005 - April 2009
Mohammed V University of Rabat
Position
  • PhD Student

Publications

Publications (133)
Chapter
In Morocco, road safety corresponds to a major public health and personal protection issue. According to statistics from the Ministry of Equipment, Transport, Logistics, and Water (METLW), the number of personal injuries reached 89,375 with an average of 10 deaths and 361 injured per day in 2017. This study tends to analyze Moroccan road traffic ac...
Chapter
The transportation system has become a fascinating and active research topic due to its multiple problems; most prior research has focused on traffic forecasting, the advanced driver assistant system (ADAS), and self-driving vehicles. Traffic sign recognition (TSR) is an essential sub-system in ADAS that helps a driver better understand the surroun...
Chapter
Climate change will increase the probability of extreme/adverse climatic events, with harmful consequence on socioeconomical population and on natural capital. In addition, due to various anthropic pressure, an ongoing degradation process still continues threatening the future of natural capital especially forest ecosystems. To overcome this proces...
Chapter
Forest stand types maps is fundamental tools for sustainable forest management that needs to be regularly updated. This work aims at the use of satellite images time series and machine learning techniques to automate and improve the efficiency of forest stands maps production. A time series of “senti-nel2MSI” satellite images has been classified us...
Chapter
Biomass estimation is important to predict the production of medical and aromatic shrubs. This work presents an efficient method to estimate the biomass of rosemary cover based on satellite imagery data. The approach consists of using remote sensing and machine learning techniques to map the rosemary cover, then estimating the dry biomass using a s...
Chapter
Internet of vehicles (IoV) over named data networking (NDN) has recently emerged as a new model to enable vehicular communications and improve road safety. Nevertheless, a malicious vehicle can disseminate fake content to other vehicles in the network, affect driving decisions, and result in traffic congestion or even accidents. Blockchain technolo...
Article
Full-text available
Pedestrians are the most vulnerable road users, with around 23% of world road traffic fatalities. To prevent such traffic collisions, the Pedestrian Collision Warning System (PCWS) alerts the driver before an imminent collision. In order to protect worldwide pedestrians, the PCWS should take into account different pedestrian crossing behaviors and...
Article
Image features selection consists on reducing the number of features of an image, used for training or testing a classifier, by eliminating irrelevant, noisy and redundant data without decreasing significantly the prediction accuracy of the classifier. In this paper we consider the problem of feature selection. We give a quick technique dependent o...
Chapter
Due to the deaths and injuries caused by road accidents every year, road safety became an important field of research for many institutes. The development of smart solutions can remarkably enhance road safety. Vehicular networks are one of those solutions. It can bring advanced services, namely collision detection, traffic management, communication...
Article
Full-text available
The SARS-CoV-2 (COVID-19) has propagated rapidly around the world, and it became a global pandemic. It has generated a catastrophic effect on public health. Thus, it is crucial to discover positive cases as early as possible to treat touched patients fastly. Chest CT is one of the methods that play a significant role in diagnosing 2019-nCoV acute r...
Article
3D Face recognition is being extensively recognized as a biometric performance refers to its non-intrusive environment. In spite of large research on 2-D face recognition, it suffers from low recognition rate due to illumination variations, pose changes, poor image quality, occlusions and facial expression variations, while 3D face models are insen...
Article
Full-text available
Today, almost all active organizations manage a large amount of data from their business operations with partners, customers, and even competitors. They rely on Data Value Chain (DVC) models to handle data processes and extract hidden values to obtain reliable insights. With the advent of Big Data, operations have become increasingly more data-driv...
Chapter
As a result of the digital transformation that has led by different production sectors, the organizations were flooded by vast, various, and complex data, called Big Data. To manage their data assets, the adoption of the Big Data value chain (BDVC) was suitable for a value realization as well as a data-intensive decision-making. The manipulation an...
Conference Paper
Full-text available
This paper tackles one of the first causes of death all around the world. In fact, third world countries including Morocco suffers more from road accidents caused by undisciplined human behavior specially pedestrians. To address this issue, our work as part of a road safety project named SAFEROAD, aims to detect pedestrians and classify their walki...
Article
Full-text available
Machine learning in today's computer vision domains has shown their accuracy and performance and that has taken the attention of the community to dive deeper into its application. Thus these machine learning algorithms have guided this research to introduce our tracking object system, which relies on a probabilistic algorithm that gives an accurate...
Article
Object tracking research is one of the most important research fields in computer vision, which allows us to resolve several well-defined issues. Of course, researchers have to deal with many challenges when one or multiple objects need to be tracked, for instance when the target is partially or fully occluded, background clutter, or even some targ...
Article
Full-text available
The human visual perception uses structural information to recognize stereo correspondences in natural scenes. Therefore, structural information is important to build an efficient stereo matching algorithm. In this paper, we demonstrate that incorporating the structural information similarity, extracted either from image intensity (SSIM) directly o...
Article
Full-text available
Skin cancer is a dangerous disease causing a high proportion of deaths around the world. Any diagnosis of cancer begins with a careful clinical examination, followed by a blood test and medical imaging examinations. Medical imaging is today one of the main tools for diagnosing cancers. It allows us to obtain precise images, internal organs and thus...
Chapter
This study aims to predict forest species cover changes in the Sidi M’Guild Forest (Mid Atlas, Morocco). Used approach combines remote sensing and GIS and is based on training Cellular Automata and Random Forest (RF) regression model for predicting species cover transition. Five covariates that precludes such transition have been chosen according t...
Chapter
Current Internet architecture is based on the TCP/IP model and has been developed several years ago. So far, it is the main architecture used in different fields of science and technology. This architecture however may need to be reconstructed to fulfill future aims and domains, such as connected vehicles, which is our field of study. For this reas...
Chapter
Breast cancer is the second most common cancer overall and the most common cancer in women worldwide. To better diagnose and predict the development of breast cancer, current medicine uses several techniques and tools based on very powerful and advanced methods such as machine learning algorithms. This work consists to produce a comparative study b...
Article
Full-text available
Value Chain has been considered as a key model for managing efficiently value creation processes within organizations. However, with the digitization of the end-to-end processes which began to adopt data as a main source of value, traditional value chain models have become outdated. For this, researchers have developed new value chain models, calle...
Article
Full-text available
Big Data systems generate a lot of data from different sources, sometimes are less reliable. Also, business ecosystems are highly interconnected, through Big Data Value Chains (BDVC) either internally or with partners, making their data assets and processes more vulnerable to multiple cyber-attacks. However, this kind of sensitive exposition and da...
Conference Paper
Full-text available
Thousands of people are dying every year due to road accidents; in fact 23% of world fatal accidents are pedestrians related, where 40% of them occur in Africa as reported by the World Health Organisation (WHO). Predicting the walking direction of a pedestrian could help to avoid an eventual accident. Existing studies can not handle pose and orient...
Conference Paper
In order to evaluate the use of Health Information Systems in Morocco, we have contributed an online survey of 199 participants. This survey was based on 27 questions that allow to provide the necessary information about this subject. The results of this study showed that 52.8% of the participants consider that the health services in Morocco are me...
Chapter
In order to evaluate the use of Health Information Systems in Morocco, we have contributed an online survey of 199 participants. This survey was based on 27 questions that allow to provide the necessary information about this subject. The results of this study showed that 52.8% of the participants consider that the health services in Morocco are me...
Article
Full-text available
The problem of face classification is to classify faces based on their visual appearance of the faces. In this paper, we investigate this issue by means Back-Propagation Neural Network (BPNN) combined with both descriptors, which are the Discrete Cosine Transform (DCT) and the Histograms of Oriented Gradient (HOG). In the first case, the BPNN is us...
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Nowadays, classification is the most efficient method for breast cancer detection using mammography images. During the last two decades, researchers achieved very good results using different kinds of classification methods. In this context, we will focus in this work on the quality of mammography image classification by proposing a new approach th...
Article
The growing demand in the field of security leads to the development of interesting approaches in face classification. For this reason, we bring a new method based on the extracted features of the four Frequency Blocks (4-FB) and Random Forest (RF) to classify faces and non faces, thus, we have used the fusion of three extracted features based on D...
Conference Paper
In this paper, we present a comparative study between Support Vector Machine (SVM) and Adaboost, as being two decisions based classification tools in the field of shape recognition. The aim of this work is to study their theoretical foundations, their learning algorithms and to see their performance in classification capacity. To compare their perf...
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Full-text available
Wavelet-based transforms have emerged as efficient directional multiscale schemes able to provide advanced analysis for the textural content of an image. Making use of their statistical dependencies, wavelet coefficients have been recognized as good basis for texture analysis. In this paper, we propose a new feature vector called relative magnitude...
Article
Generally, the face is one of the most important research, especially, face classification in pattern recognition. In this paper, based on the Local Binary Pattern (LBP) descriptor and its Uniform Local Binary Pattern (ULBP) variant, we propose to merge a set of different descriptors features which consist of Histograms of Oriented Gradient (HOG),...
Conference Paper
Full-text available
The subject of Big Data has been studied more and more in all areas, particularly in the health services sector. Big data technology can eventually change the medical practice by setting up very advanced tools to store, manage, analyze and secure the information collected at a very high level. The goal is to use this data from various sources to im...
Article
Stereo matching is a fundamental process in many application fields. An accurate depth information is useful for stereo systems to separate occluding image components. In the conception of stereo matching algorithms, various works rely on the Census Transform (CT) as a cost computation step, due to its robustness against radiometric changes. In thi...
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Full-text available
Feature extraction is an interactive and iterative analysis process of a large dataset of raw data in order to extract meaningful knowledge. In this article, we present a strong descriptor based on the Discrete Cosine Transform (DCT), we show that the new DCT-based Neighboring Support Vector Classifier (DCT-NSVC) provides a better results compared...
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Full-text available
The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods which are Deep Belief Network (DBN) and Stacked Auto-Encoder (SAE), to initialize deep supervised Neural Networks (NN), besides...
Article
Full-text available
The goal of supply chain management is to provide products with best quality, low costs and shortest delay of delivery corresponding to customers’ expectations. To ensure that, companies must be in continuous research for management methodologies which allows them the possibility to improve their financial results by decreasing costs and improving...
Conference Paper
Image features selection consists on reducing the number of features of an image, used for training or testing a classifier, by eliminating irrelevant, noisy and redundant data without decreasing significantly the prediction accuracy of the classifier. In order to improve the classification phase of medical images to detect Heart Disease, this pape...
Conference Paper
Driver assistance system has many type nowadays, such as Adaptive Cruise Control (ACC), Blind Spot Monitoring (BSM) and Lane Departure Warning (LDW), those systems provide aid or assistance to the driver while driving by taking input from sensors around the vehicle to compute some form of feedback that is then used to assist the driver of the vehic...
Article
Cardiovascular disease is a major public health problem, they are the leading causes of mortality in the world. Because of the magnitude of the problem, various works have been carried out in order to reduce the risk, including education, prevention, and monitoring of patients at risk. In order to improve the classification phase of medical images...
Chapter
Tracking multiple moving objects in a video sequence can be formulated as a profile matching problem. Reidentifying a profile within a crowd is done by a matching process between the tracked person and the different moving individuals within the same frame. In that context, the feature matching task can be approximated to a search for the profile t...
Article
In this paper, we present a detailed study and comparison of different classification algorithms. Our main purpose is the study of the Vicinal Support Vector Classifier (VSVC) and its relations to the other state-of-the-art classifiers. To this end, we start by the historical development of each classifier, derivation of the mathematics behind it a...
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Full-text available
This paper deals with a new Anisotropic Discrete Dual-Tree Wavelet Transform (ADDTWT) to characterize the anisotropy of bone texture. More specifically, we propose to extend the conventional Discrete Dual-Tree Wavelet Transform (DDTWT) by using the anisotropic basis functions associated with the Hyperbolic Wavelet Transform (HWT) instead of isotrop...
Article
Since the economic crisis has begun, every organization search for solutions that allows firms to gain competitive advantage. For this reason, almost of companies search to improve their management, one way for this is lean management. In this paper we focus on the second muda of lean management, to produce for the customer the exact quantity neede...
Conference Paper
Full-text available
This paper presents a new method for the characterization of trabecular bone texture variations for early detection of osteoporosis. It relies on the study of texture variations in the complex-anisotropic domain associated with the Fully Anisotropic Morlet transform (FAM). Unlike conventional oriented wavelet-based schemes, this not only allows ana...
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Full-text available
This study focuses on the evaluation of the water quality in the Sebou area, by applying thehybridization method of genetic algorithm (GA) by the algorithm of particle swarm optimiza-tion (PSO). This is initially transforming data from their raw format to a datamart ready to beinterrogated by the statistical techniques that will be shown in the pap...